AI-Driven Data Engineer for Supply Chain Analytics

Stellantis; Auburn Hills (MI); On-site; USD 100,000 - 130,000; Full time

Job summary

Stellantis in Auburn Hills is seeking a Data Engineer to play a crucial role in building AI-enabled supply chains. This position involves designing and operating scalable data pipelines for advanced analytics, optimization, and AI solutions.

The ideal candidate will possess over 8 years of experience in data engineering, strong skills in Python and SQL, and familiarity with modern data platforms like Databricks and Snowflake. Join us to contribute to innovative data solutions!

Qualifications

• 8+ years of professional experience in data engineering, analytics engineering, or data platform development.
• Strong proficiency in Python and SQL for data transformation and pipeline development.
• Experience designing and maintaining production-grade data pipelines and analytical data models.

Responsibilities

• Design and maintain scalable data pipelines supporting supply chain analytics.
• Transform and curate data from enterprise systems.
• Implement data quality monitoring and validation.

Skills

Python

SQL

Data pipeline development

Data quality

Data modeling

Collaboration with analytics and AI teams

Education

Bachelor's in Computer Science, Information Systems, or related field

Tools

Databricks

Spark

Snowflake

Job description

Stellantis in Auburn Hills is seeking a Data Engineer to play a crucial role in building AI-enabled supply chains. This position involves designing and operating scalable data pipelines for advanced analytics, optimization, and AI solutions.

The ideal candidate will possess over 8 years of experience in data engineering, strong skills in Python and SQL, and familiarity with modern data platforms like Databricks and Snowflake. Join us to contribute to innovative data solutions!